{"id":"W4404129617","doi":"10.1101/2024.11.06.24316856","title":"Estimating the effective reproduction number from wastewater (R <sub>t</sub> ): A methods comparison","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; Public Health Agency; Public Health Agency of Canada; Syracuse University; National Science Foundation","keywords":"Reproduction; Wastewater; Environmental science; Statistics; Mathematics; Biology; Environmental engineering; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009143274,0.0004682383,0.0004651265,0.00003645982,0.0002165901,0.0001972593,0.0005097686,0.0002566611,0.0003503883],"category_scores_gemma":[0.00009550885,0.0002714316,0.0002461988,0.0001928264,0.0002497222,0.0000818764,0.002739922,0.001003255,0.003652409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002473953,"about_ca_system_score_gemma":0.00001182499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006507955,"about_ca_topic_score_gemma":0.00007059831,"domain_scores_codex":[0.9967254,0.0007163073,0.0004450884,0.001341943,0.0003987539,0.0003724415],"domain_scores_gemma":[0.9981702,0.0002233641,0.000214961,0.001289659,0.00001037168,0.00009146605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008710892,0.0003395182,0.1965616,0.0002160782,0.0008170221,0.00008678868,0.01280009,0.04006922,0.6481419,0.00001214935,0.006529797,0.09433882],"study_design_scores_gemma":[0.0002212549,0.00003994067,0.02653608,0.0002690105,0.0005034419,0.00001723456,0.00009943359,0.01663465,0.9421232,0.01185054,0.001206869,0.0004983692],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912181,0.0003167943,0.0007812043,0.0009848339,0.003785507,0.0009955243,0.0000181886,0.0002208418,0.001678944],"genre_scores_gemma":[0.9636675,0.00001316529,0.03437446,0.00003054255,0.0007304149,0.0003859498,0.00006225111,0.0000721269,0.0006636368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2939813,"threshold_uncertainty_score":0.9999738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898327746618134,"score_gpt":0.3052908363647204,"score_spread":0.286307558898539,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}